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Avoiding pitfalls in gene (co)expression meta-analysis

机译:避免基因(共)表达荟萃分析中的陷阱

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Differentialgeneexpressionanalysisbetweenhealthyanddiseasedgroupsisawidelyusedapproachtounderstandthemolecularunderpinningsofdisease.Awidevarietyofexperimentalandbioinformaticstechniquesareavailableforthistypeofanalysis,yettheirimpactonthereliabilityoftheresultshasnotbeensystematicallystudied./ppid="sp0010"Weperformedalargescalecomparativeanalysisofclinicalexpressiondata,usingseveralbackgroundcorrectionsanddifferentialexpressionmetrics.Theagreementbetweenstudieswasanalyzedforstudypairsofsamecancertype,ofdifferentcancertypes,andbetweencancerandnon-cancerstudies.Wealsoreplicatedtheanalysisusingdifferentialemcoexpression/em./ppid="sp0015"Wefoundthatagreementofdifferentialexpressionisprimarilydictatedbythemicroarrayplatform,whiledifferentialcoexpressionrequireslargesamplesizes.Twostudiesusingdifferentdifferentialexpressionmetricsmayshownoagreement,eveniftheyagreestronglyusingthesamemetric.Ouranalysisprovidespracticalrecommendationsforgene(co)expressionanalysis./p/div
机译:Differentialgeneexpressionanalysisbetweenhealthyanddiseasedgroupsisawidelyusedapproachtounderstandthemolecularunderpinningsofdisease.Awidevarietyofexperimentalandbioinformaticstechniquesareavailableforthistypeofanalysis,yettheirimpactonthereliabilityoftheresultshasnotbeensystematicallystudied。 Weperformedalargescalecomparativeanalysisofclinicalexpressiondata,usingseveralbackgroundcorrectionsanddifferentialexpressionmetrics.Theagreementbetweenstudieswasanalyzedforstudypairsofsamecancertype,ofdifferentcancertypes,andbetweencancerandnon-cancerstudies.Wealsoreplicatedtheanalysisusingdifferential 共表达 我们发现差异表达的共识主要是由微阵列平台决定的,而差异共表达需要较大的样本量。两项使用不同差异表达度量的研究可能表明没有共识,即使他们强烈同意使用相同度量。

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